Evidence-grounded literature review, from import to synthesis.
SAV helps researchers structure a paper corpus, validate AI-generated briefs against source text, inspect cross-paper evidence themes, and prepare synthesis-ready material.
Workflow
- Import — Create a project, import Zotero papers or upload PDFs, and track processing status.
- Validate — Read each paper beside its generated brief, then approve, edit, or reject source-linked statements.
- Synthesize — Collect findings, methods, gaps, and reader notes into a traceable evidence basket.
Capabilities
- Use the demo immediately after email verification.
- Import Zotero libraries or upload PDFs once access is granted.
- Generate source-linked briefs and synthesize selected evidence.
Boundaries
- SAV works only with the corpus you provide.
- SAV can be wrong; every claim must be verified before citing.
- Scanned or image-heavy PDFs may produce incomplete evidence links.
Key outcomes
- Auditability — Every AI-generated statement is anchored to source evidence.
- Throughput — Move from paper parsing to verified briefs, notes, and corpus-level synthesis without losing the source trail.
- Synthesis quality — Move from paper-level briefs to research themes and an evidence basket.
Frequently Asked Questions
- Can I cite SAV outputs directly?
- No — cite the source papers. Every claim links to a passage; you confirm it before writing.
- What about hallucinations?
- Each brief statement points to a specific passage and page number. You verify before accepting.
- Does it work on scanned PDFs?
- Text-based PDFs work best. Scanned or image-heavy PDFs may produce incomplete evidence links.
- What happens after I create an account?
- Verify your email and sign in. Academic .edu.tr accounts automatically receive 200 credits, 1 project, and up to 5 papers; everyone else can request free credits from the workspace.